Susceptibility assessment of geological disasters in Sishui County based on the coupling model of Information Content and Analytic Hierarchy Process method
LIU Kang1, TIAN Chenlong2, XU Fenglin2
1. Shandong Provincial Lunan Geology and Exploration Institute(No.2 Geological Brigade, Shandong Provincial Bureau of Geology and Mineral Resources), Shandong Yanzhou 272100, China; 2. Investigation and Geomatics Institute of Jining, Shandong Jining 272000, China
Abstract：Taking Sishui County as the study area, the researchers in this paper selected 9 evaluation factors, such as regional landforms, geological structure, lithology and engineering activity. Based on GIS data analysis function, the information value and weight of each factor were identified by Information Content and Analytic Hierarchy Process method to evaluate geological disasters susceptibility. The results show that the biggest information content located in low mountainous area, with slope of 28°-65°, west and northwest slope aspect, hard medium - thick layered clastic rock, shale and sandstone with limestone rock group, 700-730 mm rainfall and 0.10 g ground motion acceleration. The comprehensive weight value of each factor in descending order is 0.21 for regional landform, 0.16 for rainfall, 0.14 for slope, 0.10 for lithologic character and engineering activities, 0.09 for slope aspect, 0.07 for geological structure and earthquake, and 0.06 for river systems. The high-prone area is 294.26 km2, accounting for 26.30% of area proportion and 84.62% of disaster points proportion. The medium-prone area is 66.28 km2, accounting for 5.92% of area proportion and 15.38% of disaster points proportion. The low-prone area is 758.42 km2, accounting for 67.78% of area proportion. The rationality test of the susceptibility assessment shows that the CR of the three constructed matrices is 0.000, 0.013 and 0.020, which are all less than 0.100, indicating that the susceptibility evaluation is reasonable. This research results can provide theoretical basis for geological disaster prevention, land use planning and geological environment protection in the study area.
刘康, 田臣龙, 徐凤琳. 基于信息量-层次分析耦合模型的泗水县地质灾害易发性评价[J]. 中国地质调查, 2023, 10(2): 77-86.
LIU Kang, TIAN Chenlong, XU Fenglin. Susceptibility assessment of geological disasters in Sishui County based on the coupling model of Information Content and Analytic Hierarchy Process method. , 2023, 10(2): 77-86.
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2023, Vol. 10 
